A Practitioner's Guide to Stochastic Frontier Analysis Using Stata

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Release : 2015-01-26
Genre : Business & Economics
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Book Rating : 493/5 ( reviews)

A Practitioner's Guide to Stochastic Frontier Analysis Using Stata - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Practitioner's Guide to Stochastic Frontier Analysis Using Stata write by Subal C. Kumbhakar. This book was released on 2015-01-26. A Practitioner's Guide to Stochastic Frontier Analysis Using Stata available in PDF, EPUB and Kindle. A Practitioner's Guide to Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the interpretation and application of models. This book also provides computer code, allowing users to apply the models in their own work, and incorporates the most recent stochastic frontier models developed in academic literature. Such recent developments include models of heteroscedasticity and exogenous determinants of inefficiency, scaling models, panel models with time-varying inefficiency, growth models, and panel models that separate firm effects and persistent and transient inefficiency. Immensely helpful to applied researchers, this book bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented.

Stochastic Frontier Analysis

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Release : 2003-03-10
Genre : Business & Economics
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Book Rating : 302/5 ( reviews)

Stochastic Frontier Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Stochastic Frontier Analysis write by Subal C. Kumbhakar. This book was released on 2003-03-10. Stochastic Frontier Analysis available in PDF, EPUB and Kindle. Modern textbook presentations of production economics typically treat producers as successful optimizers. Conventional econometric practice has generally followed this paradigm, and least squares based regression techniques have been used to estimate production, cost, profit and other functions. In such a framework deviations from maximum output, from minimum cost and cost minimizing input demands, and from maximum profit and profit maximizing output supplies and input demands, are attributed exclusively to random statistical noise. However casual empiricism and the business press both make persuasive cases for the argument that, although producers may indeed attempt to optimize, they do not always succeed. This book develops econometric techniques for the estimation of production, cost and profit frontiers, and for the estimation of the technical and economic efficiency with which producers approach these frontiers. Since these frontiers envelop rather than intersect the data, and since the authors continue to maintain the traditional econometric belief in the presence of external forces contributing to random statistical noise, the work is titled Stochastic Frontier Analysis.

Stochastic Frontier Analysis

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Release : 2003-03-10
Genre : Business & Economics
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Book Rating : 633/5 ( reviews)

Stochastic Frontier Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Stochastic Frontier Analysis write by Subal C. Kumbhakar. This book was released on 2003-03-10. Stochastic Frontier Analysis available in PDF, EPUB and Kindle. This book develops econometric techniques for the estimation of production, cost and profit frontiers, and for the estimation of the technical and economic efficiency with which producers approach these frontiers. Since these frontiers envelop rather than intersect the data, and since the authors continue to maintain the traditional econometric belief in the presence of external forces contributing to random statistical noise, the work is titled Stochastic Frontier Analysis. Hb ISBN (2000): 0-521-48184-8

Efficiency Analysis

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Release : 2014-12-19
Genre : Business & Economics
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Book Rating : 966/5 ( reviews)

Efficiency Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Efficiency Analysis write by Subal Kumbhakar. This book was released on 2014-12-19. Efficiency Analysis available in PDF, EPUB and Kindle. Efficiency Analysis details the important econometric area of efficiency estimation, both past approaches as well as new methodology. There are two main camps in efficiency analysis: that which estimates maximal output and attributes all departures from this as inefficiency, known as Data Envelopment Analysis (DEA), and that which allows for both unobserved variation in output due to shocks and measurement error as well as inefficiency, known as Stochastic Frontier Analysis (SFA). This volume focuses exclusively on SFA. The econometric study of efficiency analysis typically begins by constructing a convoluted error term that is composed on noise, shocks, measurement error, and a one-sided shock called inefficiency. Early in the development of these methods, attention focused on the proposal of distributional assumptions which yielded a likelihood function whereby the parameters of the distributional components of the convoluted error could be recovered. The field evolved to the study of individual specific efficiency scores and the extension of these methods to panel data. Recently, attention has focused on relaxing the stringent distributional assumptions that are commonly imposed, relaxing the functional form assumptions commonly placed on the underlying technology, or some combination of both. All told exciting and seminal breakthroughs have occurred in this literature, and reviews of these methods are needed to effectively detail the state of the art. The generality of SFA is such that the study of efficiency has gone beyond simple application of frontier methods to study firms and appears across a diverse set of applied milieus. This review should appeal to those outside of the efficiency literature seeking to learn about new methods which might assist them in uncovering phenomena in their applied area of interest.

Advances in Efficiency and Productivity Analysis

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Release : 2020-10-21
Genre : Business & Economics
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Book Rating : 063/5 ( reviews)

Advances in Efficiency and Productivity Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Efficiency and Productivity Analysis write by Christopher F. Parmeter. This book was released on 2020-10-21. Advances in Efficiency and Productivity Analysis available in PDF, EPUB and Kindle. The volume examines the state-of-the-art of productivity and efficiency analysis. It brings together a selection of the best papers from the 10th North American Productivity Workshop. By analyzing world-wide perspectives on challenges that local economies and institutions may face when changes in productivity are observed, readers can quickly assess the impact of productivity measurement, productivity growth, dynamics of productivity change, measures of labor productivity, measures of technical efficiency in different sectors, frontier analysis, measures of performance, industry instability and spillover effects. The contributions in this volume focus on the theory and application of economics, econometrics, statistics, management science and operational research related to problems in the areas of productivity and efficiency measurement. Popular techniques and methodologies including stochastic frontier analysis and data envelopment analysis are represented. Chapters also cover broader issues related to measuring, understanding, incentivizing and improving the productivity and performance of firms, public services, and industries.